diff --git a/llama_stack/distribution/ui/README.md b/llama_stack/distribution/ui/README.md
index 2cc352c52..f903689cb 100644
--- a/llama_stack/distribution/ui/README.md
+++ b/llama_stack/distribution/ui/README.md
@@ -1,16 +1,43 @@
-# LLama Stack UI
+# (Experimental) LLama Stack UI
 
 [!NOTE] This is a work in progress.
 
-## Prerequisite
-- Start up Llama Stack Server
-```
-llama stack run
-```
+## Docker Setup
 
-## Running Streamlit App
+:warning: This is a work in progress.
+
+## Developer Setup
+
+1. Start up Llama Stack API server. More details [here](https://llama-stack.readthedocs.io/en/latest/getting_started/index.html).
 
 ```
+llama stack build --template together --image-type conda
+
+llama stack run together
+```
+
+2. (Optional) Register datasets and eval tasks as resources. If you want to run pre-configured evaluation flows (e.g. Evaluations (Generation + Scoring) Page).
+
+```bash
+$ llama-stack-client datasets register \
+--dataset-id "mmlu" \
+--provider-id "huggingface" \
+--url "https://huggingface.co/datasets/llamastack/evals" \
+--metadata '{"path": "llamastack/evals", "name": "evals__mmlu__details", "split": "train"}' \
+--schema '{"input_query": {"type": "string"}, "expected_answer": {"type": "string", "chat_completion_input": {"type": "string"}}}'
+```
+
+```bash
+$ llama-stack-client eval_tasks register \
+--eval-task-id meta-reference-mmlu \
+--provider-id meta-reference \
+--dataset-id mmlu \
+--scoring-functions basic::regex_parser_multiple_choice_answer
+```
+
+3. Start Streamlit UI
+
+```bash
 cd llama_stack/distribution/ui
 pip install -r requirements.txt
 streamlit run app.py